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Machine Learning Engineer
Apple
posted 4d ago
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Flexible timing
Key skills for the job
Job Description
- 4+ years experience formulating complex business problems into actionable data solutions.
- 4+ years hands-on experience in building large scale ML systems to solve real world problems.
- Master s or PhD degree in Computer Science, Math, Statistics, Physics, Engineering or related level of experience required.
- Strong communicator and experience with communicating complex ML outcomes to non-technical engineers.
- Intuitive understanding of machine learning algorithms, supervised and unsupervised modeling techniques and their performance characteristics.
- Experience working with large scale and real world datasets.
- Experience with machine learning tools and libraries such as TensorFlow, Scikit-learn, R, Spark, PyTorch.
- Experience with ML in manufacturing and operations spaces are pluses. In particular, working with extensive and messy manufacturing data set, as well as deploying production ready model to the factory.
- Strong programming skills with 4+ years experience in Python for ML.
- Experience with full-stack ML development (e.g., Flask, JavaScript) and productionalizing ML system using AWS.
- Experience with Operations Research (OR) and linear & nonlinear constrained optimization.
- Work experience in machine data (sensors, downtime, machine states, etc) for IoT & predictive maintenance applications.
- Experience with manufacturing and supply chain ML use cases such as test optimization, cost reduction, and quality improvement.
- Experience with ML for business decisions.
Employment Type: Full Time, Permanent
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